Preparation and characterization of the phthalocyanine–zinc(II) complex‑based nanothin flms: optical and gas‑sensing properties
View/ Open
Access
info:eu-repo/semantics/openAccessDate
2022Author
Açıkbaş, YaserErdoğan, Matem
Çapan, Rifat
Erdoğan, Cansu Özkaya
Baygu, Yasemin
Kabay, Nilgün
Gök, Yaşar
Küçükyıldız, Gürkan
Metadata
Show full item recordAbstract
Phthalocyanines (Pcs), among synthetic macrocyclic structures, have recently been preferred sensing materials for harmful
vapor detection owing to their attractive properties, such as chemical stability and highly thermal, and good production as
nano-thin flm layers and their ?-electron conjugated system. Herein, phthalocyanine–zinc(II)-based (ZnPc) Langmuir–
Blodgett (LB) nanothin flms were produced and characterized by UV–Visible spectrophotometer and Surface Plasmon
Resonance (SPR) technique. The gas-sensing and optical properties of these ZnPc nanothin flms were also investigated by
SPR method. The optical properties of ZnPc LB flms with varied numbers of layers were also expressed with this study.
The refracting index values of ZnPc LB flm layers were identifed between 1.43 and 1.73 for the thicknesses of 3.7 and
12.6 nm with linear regression of 0.9926 by ftting SPR experimental data. The basic host–guest interaction principle was
used to investigate the response of phthalocyanine–zinc(II)-based optical sensors against to the selected alcohol and ketone
vapors. These kinetic data were performed by employing Fick’s difusion equation to study the swelling dynamics’ ZnPC
nanothin flms. To prove the efciency of the experiments, the experimental data were modeled with the well-known deep
learning models. The experimental data set is split into two sections: the training and test part. The 83% amount of data is
operated to train the deep learning models and the remaining 17% samples of data are operated to observe the developed
models prediction performance.